The Monocyte-to-Lymphocyte Ratio at Hospital Admission Is a Novel Predictor for Acute Traumatic Intraparenchymal Hemorrhage Expansion after Cerebral Contusion

Association Between Monocyte-to-Lymphocyte Ratio and Hematoma Progression After Cerebral Contusion

BACKGROUND

The objective of this research was to examine the impact of the monocyte-to-lymphocyte ratio (MLR) on the advancement of hematoma after cerebral contusion.

METHODS

The clinical information and laboratory test findings of people with cerebral contusion were retrospectively analyzed. Using the tertiles of MLR, the study participants were categorized into three groups, enabling the evaluation of the correlation between MLR and the advancement of hematoma after cerebral contusion.

RESULTS

Among the cohort of patients showing progression, MLR levels were significantly higher compared with the nonprogress group (P < 0.001). The high MLR group had a significantly higher proportion of patients with hematoma progression compared with the medium and low MLR groups. However, the medium MLR group had a lower proportion of patients with hematoma progression compared with the low MLR group. High MLR levels were independently linked to a higher risk of hematoma progression (Odds Ratio 3.546, 95% Confidence Interval 1.187-10.597, P = 0.024). By incorporating factors such as Glasgow Coma Scale score on admission, anticoagulant/antiplatelet therapy, white blood cell count, and MLR into the model, the predictive performance of the model significantly improved (area under the curve 0.754).

CONCLUSIONS

Our study suggests that MLR may serve as a potential indicator for predicting the progression of hematoma after cerebral contusion. Further research is necessary to investigate the underlying pathological and physiological mechanisms that contribute to the association between MLR and the progression of hematoma after cerebral contusion and to explore its clinical implications.

Red cell distribution width to lymphocyte ratio could serve as a new inflammatory biomarker for predicting hematoma expansion in patients with intracerebral hemorrhage

BACKGROUND

Hematoma expansion is a critical factor associated with increased mortality and adverse outcomes in patients with intracerebral hemorrhage (ICH). Identifying and preventing hematoma expansion early on is crucial for effective therapeutic intervention. This study aimed to investigate the potential association between the Red cell distribution width to lymphocyte ratio (RDWLR) and hematoma expansion in ICH patients.

METHODS

We conducted a retrospective analysis of clinical data from 303 ICH patients treated at our department between May 2018 and May 2023. Demographic, clinical, radiological, and laboratory data, including RDWLR upon admission, were assessed. Binary logistic regression analysis was employed to determine independent associations between various variables and hematoma expansion.

RESULTS

The study included 303 ICH patients, comprising 167 (55.1%) males and 136 (44.9%) females, with a mean age of 65.25 ± 7.32 years at admission. Hematoma expansion occurred in 73 (24.1%) cases. Multivariate analysis revealed correlations between hematoma volume at baseline (OR, 2.73; 95% CI: 1.45 -4,78; P < 0.001), admission systolic blood pressure (OR, 2.98 ; 95% CI: 1.54-4.98; P < 0.001), Glasgow Coma Scale (GCS) (OR, 1.58; 95% CI: 1.25-2.46; P = 0.017), and RDWLR (OR, 1.58; 95% CI: 1.13-2.85; P = 0.022) and hematoma expansion in these patients.

CONCLUSIONS

Our findings suggest that RDWLR could serve as a new inflammatory biomarker for hematoma expansion in ICH patients. This cost-effective and readily available biomarker has the potential for early prediction of hematoma expansion in these patients.

An analysis of neutrophil-to-lymphocyte ratios and monocyte-to-lymphocyte ratios with six-month prognosis after cerebral contusions

Background and purpose

Neutrophil-to-lymphocyte ratio (NLR) and monocyte-to-lymphocyte ratio (MLR) have been identified as potential prognostic markers in various conditions, including cancer, cardiovascular disease, and stroke. This study aims to investigate the dynamic changes of NLR and MLR following cerebral contusion and their associations with six-month outcomes.

Methods

Retrospective data were collected from January 2016 to April 2020, including patients diagnosed with cerebral contusion and discharged from two teaching-oriented tertiary hospitals in Southern China. Patient demographics, clinical manifestations, laboratory test results (neutrophil, monocyte, and lymphocyte counts) obtained at admission, 24 hours, and one week after cerebral contusion, as well as outcomes, were analyzed. An unfavorable outcome was defined as a Glasgow Outcome Score (GOS) of 0-3 at six months. Logistic regression analysis was performed to identify independent predictors of prognosis, while receiver characteristic curve analysis was used to determine the optimal cutoff values for NLR and MLR.

Results

A total of 552 patients (mean age 47.40, SD 17.09) were included, with 73.19% being male. Higher NLR at one-week post-cerebral contusion (adjusted OR = 4.19, 95%CI, 1.16 - 15.16, P = 0.029) and higher MLR at admission and at 24 h (5.80, 1.40 - 24.02, P = 0.015; 9.06, 1.45 - 56.54, P = 0.018, respectively) were significantly associated with a 6-month unfavorable prognosis after adjustment for other risk factors by multiple logistic regression. The NLR at admission and 24 hours, as well as the MLR at one week, were not significant predictors for a 6-month unfavorable prognosis. Based on receiver operating characteristic curve analysis, the optimal thresholds of NLR at 1 week and MLR at admission after cerebral contusion that best discriminated a unfavorable outcome at 6-month were 6.39 (81.60% sensitivity and 70.73% specificity) and 0.76 (55.47% sensitivity and 78.26% specificity), respectively.

Conclusion

NLR measured one week after cerebral contusion and MLR measured at admission may serve as predictive markers for a 6-month unfavorable prognosis. These ratios hold potential as parameters for risk stratification in patients with cerebral contusion, complementing established biomarkers in diagnosis and treatment. However, further prospective studies with larger cohorts are needed to validate these findings.

A dynamic online nomogram for predicting death in hospital after aneurysmal subarachnoid hemorrhage

BACKGROUND

This study aimed to validate the efficacy the multiplication of neutrophils and monocytes (MNM) and a novel dynamic nomogram for predicting in-hospital death in patients with aneurysmal subarachnoid hemorrhage (aSAH).

METHODS

Retrospective study was done on 986 patients with endovascular coiling for aSAH. Independent risk factors associated with in-hospital death were identified using both univariate and multivariate logistic regression analysis. In the development cohort, a dynamic nomogram of in-hospital deaths was introduced and made available online as a straightforward calculator. To predict the in-hospital death from the external validation cohort by nomogram, calibration analysis, decision curve analysis, and receiver operating characteristic analysis were carried out.

RESULTS

72/687 patients (10.5%) in the development cohort and 31/299 patients (10.4%) in the validation cohort died. MNM was linked to in-hospital death in univariate and multivariate regression studies. In the development cohort, a unique nomogram demonstrated a high prediction ability for in-hospital death. According to the calibration curves, the nomogram has a reliable degree of consistency and calibration. With threshold probabilities between 10% and 90%, the nomogram's net benefit was superior to the basic model. The MNM and nomogram also exhibited good predictive values for in-hospital death in the validation cohort.

CONCLUSIONS

MNM is a novel predictor of in-hospital mortality in patients with aSAH. For aSAH patients, a dynamic nomogram is a useful technique for predicting in-hospital death.

Novel pirfenidone derivatives: synthesis and biological evaluation

In order to discover novel anti-pulmonary fibrosis agents, a series of novel pirfenidone derivatives were designed and synthesized. All compounds were investigated for their anti-pulmonary activity and characterized by 13C and 1H nuclear magnetic resonance and high-resolution mass spectrometry. Preliminary studies on their biological activity showed that all target compounds showed different degrees of inhibition on pulmonary fibrosis, and most of the derivatives were significantly better than pirfenidone.

Correlation of MLR with CRP and MPVPCR with LED in Traumatic Brain Injury

BACKGROUND: Traumatic brain injury (TBI) contributes greatly to high rates of death and disability globally. It may be divided into primary and secondary injuries. Primary head injuries occur at the moment of impact which causes mechanical loads and accelerations both linearly and rotationally, causing injury to the brain. After the primary brain injury, further biochemical and cellular processes occur that lead to secondary injury. Secondary insult in TBI may lead to several neuroinflammation processes that are reflected on laboratory markers. The monocyte-lymphocyte ratio and mean platelet volume-platelet count ratio (MPVPCR) theoretically have the potential to be used as neuroinflammation markers in TBI. AIM: This study was conducted to assess the relationship between monocyte-lymphocyte ratio (MLR), MPVPCR with both C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR) regarded as inflammation markers in relation to secondary brain injury. METHODS: This study was a cross-sectional prospective analytic observational study conducted at the Sanglah hospital emergency department from February to May 2022. Patients diagnosed with TBI aged 18 years and over that were willing to be included in the study by consecutive sampling. Patients with a history of autoimmune disease, history of taking immunosuppressant drugs, and fractures of > 2 long bones were excluded and the presence of infection characterized by fever was excluded from the study. History taking and physical examination were done to obtain data regarding age, gender, mechanism of injury, Glasgow Coma Scale, fainting duration, and memory loss. The blood sample was taken at 24 h after trauma to obtain MLR, MPVPCR, CRP, and ESR results. Pearson correlation test was done to determine the correlation between MLR and MPVPCR with CRP and LED. RESULTS: There are a total of 85 patients included in this study with the mean of age which is 36 ± 2.5 years old. Most of them are men (71.3%) with the mean of GCS on admission which is 12. Mean ± (SD) of the monocyte, lymphocyte, and platelet was 1.12 ± 0.82 × 103/μL, 1.83 ± 1.69 × 103/μL, and 259.34 ± 85.79 × 103/μL consecutively. MLR with CRP had a weak positive correlation and was statistically significant (r = 0.215; p = 0.045), as well as MPVPCR with ESR also had a weak positive correlation and was statistically significant (r = 0.276; p = 0.010). While both MLR with ESR and MPVPCR with CRP had no correlation. CONCLUSION: MLR can be an option representing CRP in predicting the magnitude of inflammation in head injury and MPVPCR can be considered to be used as a predictor of thrombotic phenomena in TBI.

Association of cerebrospinal fluid CD4+/CD8+Ratio with 60-day functional outcome after intracerebral hemorrhage

Background: The immune inflammatory reaction has vital function in pathologic mechanism of critical intracerebral hemorrhage. It recently has been reported that CD4/CD8 ratio may represent a novel composite immune inflammatory marker to predict prognosis of critical intracerebral hemorrhage (ICH). Nevertheless, as for considering the effects of surgical evacuation upon initiation of immune inflammatory reactions, the association between cerebrospinal fluid (CSF) CD4/CD8 ratio and 60-day functional outcome of patients with critical ICH after surgery has not been investigated. Present study aimed to evaluate the predictive value concerning postoperative complement system and immunoglobulin, paired cerebrospinal fluid and peripheral blood lymphocyte subsets, as well as inflammation index before and after the operations upon the 60-day prognosis of patients with ICH.Methods: In total, 69 patients with acute critical ICH admitted in First Central Hospital of Baoding City from January to July in 2022 were prospectively enrolled. We recorded and analyzed the relevant clinical data. Laboratory parameters included postoperative lymphocyte subsets in paired cerebrospinal fluid and peripheral blood, inflammation index before and after operation. The associations between 60-day outcome and laboratory biomarkers were assessed by multivariable logistic regression analysis. Comparisons of predictive value regarding independent predictors was evaluated by receiver operating characteristic (ROC) curves.Results: In total, 51 patients with critical ICH exhibited poor outcomes at 60 days, which was associated with fever after surgery, hernia before surgery, SAH and lower Glasgow Coma Scale (GCS) at admission and large hematoma volume, greater CD3T%CSF, greater CD4T%CSF, and greater CD4/CD8 ratioCSF. CD4/CD8ratio CSF showcased significant predictive power by comparing with other laboratorial variables (AUC = 0.6808; cut-off = 1.61; sensitivity = 80.39%; specificity = 61.11%; 95% CI: 0.5232-0.8385; p = .0233), which was found to correlated linearly with postoperative fever, first CSF test time, CD3T% CSF, CD4T% CSF, CD8T% CSF, NKCSF, CD3T%PB, CD8T%PB, CD4/CD8 ratioPB, and glucoseCSF. Poor outcome at 60 days linearly correlated with CD4/CD8ratioCSF after adjustments. In 3-5 days after surgery tested CSF lymphocyte subsets, CD4/CD8ratioCSF ≥1.61 was associated with a higher risk for 60-day poor outcome comparing with corresponding subgroups.Conclusions: In association of critical ICH patient prognosis, CSF CD4/CD8 ratio, especially in 3-5 days after surgery, exhibited potential independent predictive ability for 60-day functional outcomes of patients with critical ICH.

Preoperative Inflammatory Markers and the Risk of Postoperative Delirium in Patients Undergoing Lumbar Spinal Fusion Surgery

We investigated the possible associations between postoperative delirium (POD) and routinely available preoperative inflammatory markers in patients undergoing lumbar spinal fusion surgery (LSFS) to explore the role of neuroinflammation and oxidative stress as risk factors for POD. We analyzed 11 years’ worth of data from the Smart Clinical Data Warehouse. We evaluated whether preoperative inflammatory markers, such as the neutrophil-to-lymphocyte ratio (NLR), the monocyte-to-lymphocyte ratio (MLR), and the CRP-to-albumin ratio (CAR), affected the development of POD in patients undergoing LSFS. Of the 3081 subjects included, 187 (7.4%) developed POD. A significant increase in NLR, MLR, and CAR levels was observed in POD patients (p < 0.001). A multivariate analysis showed that the second, third, and highest quartiles of the NLR were significantly associated with the development of POD (adjusted OR (95% CI): 2.28 (1.25−4.16], 2.48 (1.3−4.73], and 2.88 (1.39−5.96], respectively). A receiver operating characteristic curve analysis showed that the discriminative ability of the NLR, MLR, and CAR for predicting POD was low, but almost acceptable (AUC (95% CI): 0.60 (0.56−0.64], 0.61 (0.57−0.65], and 0.63 (0.59−0.67], respectively, p < 0.001). Increases in preoperative inflammatory markers, particularly the NLR, were associated with the development of POD, suggesting that a proinflammatory state is a potential pathophysiological mechanism of POD.

A Clinical Predictive Nomogram for Traumatic Brain Parenchyma Hematoma Progression

INTRODUCTION

Acute traumatic intraparenchymal hematoma (tICH) expansion is a major cause of clinical deterioration after brain contusion. Here, an accurate prediction tool for acute tICH expansion is proposed.

METHODS

A multicenter hospital-based study for multivariable prediction model was conducted among patients (889 patients in a development dataset and 264 individuals in an external validation dataset) with initial and follow-up computed tomography (CT) imaging for tICH volume evaluation. Semi-automated software was employed to assess tICH expansion. Two multivariate predictive models for acute tICH expansion were developed and externally validated.

RESULTS

A total of 198 (22.27%) individuals had remarkable acute tICH expansion. The novel Traumatic Parenchymatous Hematoma Expansion Aid (TPHEA) model retained several variables, including age, coagulopathy, baseline tICH volume, time to baseline CT time, subdural hemorrhage, a novel imaging marker of multihematoma fuzzy sign, and an inflammatory index of monocyte-to-lymphocyte ratio. Compared with multihematoma fuzzy sign, monocyte-to-lymphocyte ratio, and the basic model, the TPHEA model exhibited optimal discrimination, calibration, and clinical net benefits for patients with acute tICH expansion. A TPHEA nomogram was subsequently introduced from this model to facilitate clinical application. In an external dataset, this device showed good predicting performance for acute tICH expansion.

CONCLUSIONS

The main predictive factors in the TPHEA nomogram are the monocyte-to-lymphocyte ratio, baseline tICH volume, and multihematoma fuzzy sign. This user-friendly tool can estimate acute tICH expansion and optimize personalized treatments for individuals with brain contusion.

Establishment and validation of a prediction model for intraparenchymal hematoma expansion in patients with cerebral contusion: A reliable Nomogram

BACKGROUND AND OBJECTIVE

Cerebral Contusion (CC) is one of the most serious injury types in patients with traumatic brain injury (TBI). Traumatic intraparenchymal hematoma (TICH) expansion severely affects the patient's prognosis. In this study, the baseline data, imaging features, and laboratory examinations of patients with CC were summarized and analyzed to develop and validate a nomogram predictive model assessing the risk factors for TICH expansion.

METHODS

Totally 258 patients were included and retrospectively analyzed herein, who met the CC inclusion criteria, from July 2018 to July 2021. TICH expansion was defined as increased hematoma volume ≥ 30% relative to primary volume or an absolute hematoma increase ≥ 5 ml at CT review.

RESULTS

Univariate and binary logistic regression analyses were performed to screen out the independent predictors significantly correlated with TICH expansion: Age, subdural hematoma (SDH), contusion site, multihematoma fuzzy sign (MFS), contusion volume, and traumatic coagulation abnormalities (TCA). Based on these, the nomogram model was established. The differences between the contusion volume and glasgow outcome scale (GOS) were analyzed by the nonparametric tests. Larger contusion volume was associated with poor prognosis.

CONCLUSION

This study established a Nomogram model to predict TICH expansion in patients with CC. Meanwhile, the study found that the risk of bleeding tended to decrease when the hematoma volume was > 15 ml, but the larger initial hematoma volume would indicate worse prognosis. We advocate the use of predictive models for TICH expansion risk assessment in hospitalized CC patients, which is low-cost and easy-to-apply, especially in acute settings.

Establishment and validation of prognosis model for patients with cerebral contusion

Background And Objective

Cerebral Contusion (CC) is one of the most serious injury types in patients with traumatic brain injury (TBI). In this study, the baseline data, imaging features and laboratory examinations of patients with CC were summarized and analyzed to develop and validate a prediction model of nomogram to evaluate the clinical outcomes of patients.

Methods

A total of 426 patients with cerebral contusion (CC) admitted to the People’s Hospital of Qinghai Province and Affiliated Hospital of Qingdao University from January 2018 to January 2021 were included in this study, We randomly divided the cohort into a training cohort (n = 284) and a validation cohort (n = 142) with a ratio of 2:1.At Least absolute shrinkage and selection operator (Lasso) regression were used for screening high-risk factors affecting patient prognosis and development of the predictive model. The identification ability and clinical application value of the prediction model were analyzed through the analysis of receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA).

Results

Twelve independent prognostic factors, including age, Glasgow Coma Score (GCS), Basal cistern status, Midline shift (MLS), Third ventricle status, intracranial pressure (ICP) and CT grade of cerebral edema,etc., were selected by Lasso regression analysis and included in the nomogram. The model showed good predictive performance, with a C index of (0.87, 95% CI, 0.026–0.952) in the training cohort and (0.93, 95% CI, 0.032–0.965) in the validation cohort. Clinical decision curve analysis (DCA) also showed that the model brought high clinical benefits to patients.

Conclusion

This study established a high accuracy of nomogram model to predict the prognosis of patients with CC, its low cost, easy to promote, is especially applicable in the acute environment, at the same time, CSF-glucose/lactate ratio(C-G/L), volume of contusion, and mean CT values of edema zone, which were included for the first time in this study, were independent predictors of poor prognosis in patients with CC. However, this model still has some limitations and deficiencies, which require large sample and multi-center prospective studies to verify and improve our results.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12883-021-02482-4.

Role of Monocyte-to-lymphocyte Ratio, Mean Platelet Volume-to-Platelet Count Ratio, C-Reactive Protein and Erythrocyte Sedimentation Rate as Predictor of Severity in Secondary Traumatic Brain Injury: A Literature Review

BACKGROUND: Secondary traumatic brain injury (TBI) is injury to the brain following primary TBI because of neuroinflammation as consequences of neuronal and glial cell injury which cause release of various inflammation cytokine and chemokine. Biomarker examination to predict the severity of secondary TBI is important to provide appropriate treatment to the patient. This article reviews possibility several common laboratory parameter such as monocyte-to-lymphocyte ratio (MLR), mean platelet volume-to-platelet count (PC) ratio (MPV-PCR), c-reactive protein (CRP), and erythrocyte sedimentation rate (ESR) to predict severity of secondary TBI. LITERATURE REVIEW: TBI activates microglia which increase infiltration and proliferation of monocyte. Neuroinflammation also increases thrombopoiesis which leads to increase megakaryocytes production. In the other hand, due to disruption of brain blood vessels because of trauma, coagulation cascade is also activated and leads to consumptive coagulopathy. These are reflected as high monocyte count, low PC, and high MPV. Lymphocyte count is reported low in TBI especially in poor outcome patients. CRP is an acute phase reactant that increased in inflammation condition. In TBI, increased production of Interleukin-6 leads to increase CRP production. In head injured patients, ESR level does not increase significantly in the acute phase of inflammation but last longer when compared to CRP. CONCLUSION: MLR, MPV-PCR, CRP, and ESR could be predictor of severity in secondary TBI.